arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

Trend · papers per month

count % of corpus

1 result for “JEVD”

Achieving Fair PCA Using Joint Eigenvalue Decompositioncs.LG

A fair PCA method using JEVD ensures balanced data representation.

problem PCA's bias in data with demographic characteristics.

method Joint Eigenvalue Decomposition (JEVD) for fair PCA.

result JEVD optimally balances fairness and PCA's data structure.

PCA fairness JEVD dimensionality reduction demographic characteristics

2025-02-24abs ↗pdf ↗